Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

RNA Structure01:23

RNA Structure

70.9K
Overview
The basic structure of RNA consists of a five-carbon sugar and one of four nitrogenous bases. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA): messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three RNA types consist of a...
70.9K
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

34.0K
VSEPR Theory for Determination of Electron Pair Geometries
34.0K
Leaky Scanning02:28

Leaky Scanning

5.1K
During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R...
5.1K
Nucleic Acid Structure01:25

Nucleic Acid Structure

5.9K
The pentose sugar in DNA is deoxyribose, while in RNA the pentose sugar is ribose. The difference between the sugars is the presence of the hydroxyl group on the ribose's second carbon and a hydrogen on the deoxyribose's second carbon. The phosphate residue attaches to the hydroxyl group of the 5′ carbon of one sugar and the hydroxyl group of the 3′ carbon of the sugar of the next nucleotide, which forms  a 5′ to 3′ phosphodiester linkage.
DNA Structure
DNA...
5.9K
Improving Translational Accuracy02:07

Improving Translational Accuracy

8.7K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
8.7K
Nucleic Acids02:43

Nucleic Acids

43.6K
Nucleic acids are the most important macromolecules for the continuity of life. They carry the cell's genetic blueprint and carry instructions for its functioning.
DNA and RNA
The two main types of nucleic acids are deoxyribonucleic acid (DNA) and ribonucleic acid (RNA). DNA is the genetic material in all living organisms, ranging from single-celled bacteria to multicellular mammals. It is in the nucleus of eukaryotes and in the organelles, chloroplasts, and mitochondria. In prokaryotes,...
43.6K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

A divide-and-conquer approach based on deep learning for long RNA secondary structure prediction: Focus on pseudoknots identification.

PloS one·2025
Same author

MMnc: multi-modal interpretable representation for non-coding RNA classification and class annotation.

Bioinformatics (Oxford, England)·2025
Same author

Comparison and benchmark of deep learning methods for non-coding RNA classification.

PLoS computational biology·2024
Same author

State-of-the-RNArt: benchmarking current methods for RNA 3D structure prediction.

NAR genomics and bioinformatics·2024
Same author

RNAdvisor: a comprehensive benchmarking tool for the measure and prediction of RNA structural model quality.

Briefings in bioinformatics·2024
Same author

IRSOM2: a web server for predicting bifunctional RNAs.

Nucleic acids research·2023

相关实验视频

Updated: Jun 3, 2025

Optical Tweezers to Study RNA-Protein Interactions in Translation Regulation
12:26

Optical Tweezers to Study RNA-Protein Interactions in Translation Regulation

Published on: February 12, 2022

4.9K

RNA-TorsionBERT:利用语言模型进行RNA 3D扭矩角度预测.

Clément Bernard1,2, Guillaume Postic1, Sahar Ghannay2

  • 1Université Paris Saclay, Univ Evry, IBISC, Evry-Courcouronnes 91020, France.

Bioinformatics (Oxford, England)
|January 8, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了RNA-TorsionBERT,一种新的语言模型,用于直接从序列数据中预测RNA扭曲角度. 这种方法提高了RNA 3D结构预测准确性和质量评估.

更多相关视频

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
10:34

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells

Published on: December 9, 2022

4.0K
RNA Secondary Structure Prediction Using High-throughput SHAPE
13:42

RNA Secondary Structure Prediction Using High-throughput SHAPE

Published on: May 31, 2013

31.4K

相关实验视频

Last Updated: Jun 3, 2025

Optical Tweezers to Study RNA-Protein Interactions in Translation Regulation
12:26

Optical Tweezers to Study RNA-Protein Interactions in Translation Regulation

Published on: February 12, 2022

4.9K
Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
10:34

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells

Published on: December 9, 2022

4.0K
RNA Secondary Structure Prediction Using High-throughput SHAPE
13:42

RNA Secondary Structure Prediction Using High-throughput SHAPE

Published on: May 31, 2013

31.4K

科学领域:

  • 计算生物学 计算生物学
  • 结构生物信息学 结构生物信息学
  • 基因组学就是基因组学.

背景情况:

  • 预测RNA3D结构仍然是一个重大挑战.
  • RNA 3D 结构取决于残留距离,基相互作用和骨干扭曲角度.
  • 准确预测扭曲角度对于全球RNA折叠重建至关重要.

研究的目的:

  • 从原始序列数据中直接预测RNA扭曲角度的新方法.
  • 为RNA结构预测的具体任务调整语言模型.
  • 通过增强的扭曲角度预测,提高RNA 3D结构预测的准确性.

主要方法:

  • 开发了RNA-TorsionBERT,一种基于语言的模型,利用序列交互.
  • 应用该模型来预测RNA扭曲和伪扭曲角度仅从序列.
  • 使用模型预测推断了一个依赖扭矩角度的评分函数 (TB-MCQ).

主要成果:

  • 与最先进的方法相比,RNA-TorsionBERT可以更好地预测扭曲角度.
  • TB-MCQ评分函数根据扭转角度准确评估基于近原生预测RNA结构的质量.
  • 该模型显示了促进RNA3D结构预测的有希望的结果.

结论:

  • 语言模型为推进RNA3D结构预测提供了显著的潜力.
  • 从序列中直接预测扭转角度是一种可行的方法.
  • 开发的方法和工具有助于改进RNA结构分析.